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» Mining Multiple Large Databases
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AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
15 years 6 months ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
120
Voted
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 6 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
93
Voted
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
114
Voted
DEXAW
2004
IEEE
131views Database» more  DEXAW 2004»
15 years 6 months ago
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
A considerable amount of e-learning content is being delivered via virtual or managed learning environments. These platforms keep track of learners' activities including cont...
Alex G. Büchner, David W. Patterson
127
Voted
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 10 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum